Wk2:Chap2 - Data Governance & IT Architecture Support Long-Term Performance Flashcards
Data governance?
The control of enterprise data through formal policies and procedures
Enterprise architecture?
Guide for information systems, digital technology and business processes
High quality data?
Trusted and accessible on demand
What is Information Management?
- use of IT tools and methods to collect, process, consolidate, store and secure data from sources that are often fragmented and inconsistent.
Key Performance Indicators (KPIs)
Present data in easy-to-comprehend and comparison-ready formats.
These measures demonstrate the effectiveness of a business process at achieving organisational goals.
Data silos?
Stand alone data stores not accessible by other info systems that need data.
- sourcing silos : parts replenish, procuring
- operations silos: design, build, ship
- customer-facing silos: sales, fulfilment, billing, support
Enterprise Architecture and Data Governance?
Enterprise architecture (EA) Core set of information systems and business processes that execute the transactions that keep the business performing.
Enterprise Architecture is measured (for example) as:
- ROI
- Customer Satisfaction
- Low employee turnover
- Speed to market
Enterprise Architecture comments (4)
- Business architecture
- Application Architecture
- Data architecture
- Technical architecture
Industries dependant in governance (3)
- food industry
- financial services industry
- healthcare industry
Master Data & Management (MDM)
Creates high-quality trustworthy data.
Strong data governance is needed to manage the availability, usage, integrity and security of the data throughout the enterprise.
Information systems: the basics (3)
- Data: describes products, customers, events, activities and transactions that are recorded, classified and stored.
- Information: is processes, organised, or put into context data with meaning and value to the recipient.
- Knowledge: is conveyed information as applied to a current problem or activity.
Input-processing-output Model
Input> processing> output> communication
Output > storage
Transaction Processing systems (TPS)
- International transactions: originate or occurs within the organisation
- External transactions: originate outside the organisation
Batch processing ?
Collects all transactions for a time period, then processes the data and updates the data store
Online Real-time Processing (OLTP)
Processes each transaction as it occurs (real-time)
Difference between batch and online real-time processing
Batch processing costs less than OLTP but may be inaccurate from update delays
Management Information Systems (MIS)
General purpose reporting systems that provide reports to managers for tracking operations, monitoring and control
- reports created or run according to a pre-set “schedule”
- “exemption”: generated only when something is outside designated parameters
“On Demand”: unplanned, generates as needed
Decision support Systems (DSS(
Interactive applications that support decision making.
Support unstructured and semi-structured decisions with the following characteristics:
1. Easy to us interactive interface
2. Models or formulas that enable sensitivity analysis
3. Data from multiple sources
IT infrastructure (3)
- Data centres
- Cloud computing
- Virtualisation
Data Centers
Large number of network servers used for the storage, processing, management, distributions and archiving of data, systems, web traffic, services and enterprise applications
Unified data center
Cisco’s single solution integrating computing, storage, networking, virtualisation, and management into a single (unified) platform.
Gives greater IT flexibility and cutting costs
What is the cloud
Term for infrastructure that uses the internet and private network to access, share, and deliver computing resources.
Types of clouds (2)
- Private cloud: single-tenant environments with stronger security and control for regulated industries and critical data.
- Public Cloud: multiple-tenant virtualised services utilising the same pool of servers across a public network
Cloud infrastructure
Provided on demand for storage virtualisation, network virtualisation and hardware virtualisation
Virtualisation
Created by a sorftware later containing its own operating system and application as a physical computer
Software as a service (SaaS)
End user apps, like sales force
Platform as a service (Paas)
Tools and services making coding and development faster and more efficient
Infrastructure as a service (IaaS)
Hardware and software that power computing resources
Data as a Service (DaaS)
Data shred among clouds, Systems, apps regardless the data source or storage location